Machine learning based stellar classification with highly sparse photometry data.

Depending on problem context this can be a highly significant issue.

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Distances in PySSED come from different methods, not only parallaxes from Gaia, and even if distances came only from Gaia there may be significant errors or biases coming from the parallax uncertainties.

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